Results 71 to 80 of about 1,617,822 (298)
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
The Collaborative Semantic Grid
Grid and Semantic Web technologies both enable heterogeneous resources to be joined up to achieve new functionality and capability, and their combined effectiveness has been demonstrated through a number of ‘Semantic Grid’ projects. These typically apply
De Roure, David +3 more
core +2 more sources
A Study of Ontology Convergence in a Semantic Wiki
Semantic Wikis propose a combination of both easy collaboration and semantic expressivity; characteristics of the WikiWikiWeb and the Semantic Web respectively. In this paper we look to define and analyse the Semantic Wiki method, in order to explore the
Kousetti, Chrysovalanto +5 more
core +2 more sources
The cognitive motivation and purposes of playful blending in English
The motivation of playful blending is circumscribed by the combination of source words with a recognized linguistic similarity (either semantic or morphological), or an oxymoronic effect.
Boris Lefilliâtre
doaj +1 more source
The Main Priorities of Motivation in Teaching Language
The current article discusses the main effect of motivation in the process of language learning. The study covers the full description of motivation provided in frequent glossaries and dictionaries as well as types of motivation according to the function
Vaydullo qizi, Jumanova Sabrina
core
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Nádoby určené k pití v indoevropském slovníku
A purpose of the present study is to map main semantic strategies in designations of vessels for drinking in the Indo-European languages. A choice of this specific semantic field was motivated by the fact that vessels represent a cultural phenomenon ...
Václav Blažek
doaj
Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini +7 more
wiley +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
The article deals with semantic and motivational features, an attempt is made to classify pharmacy names in Chernivtsi. The aim of re- search is to study the names of pharmacies in Chernivtsi as an important component of ergonomics in the ...
Nadiia BABUKH
doaj +1 more source

